Recent neuroimaging studies have highlighted the importance of
network-c...
Recent studies on face forgery detection have shown satisfactory perform...
Biological networks are commonly used in biomedical and healthcare domai...
Brain networks, graphical models such as those constructed from MRI, hav...
Adversarial patch is an important form of real-world adversarial attack ...
Human brains are commonly modeled as networks of Regions of Interest (RO...
In this paper, we present the Multi-Forgery Detection Challenge held
con...
Brain networks characterize complex connectivities among brain regions a...
Functional magnetic resonance imaging (fMRI) is one of the most common
i...
Learning management systems (LMSs) have become essential in higher educa...
Mapping the connectome of the human brain using structural or functional...
Graphical models play an important role in neuroscience studies, particu...
Recent studies in neuroscience show great potential of functional brain
...
In this study we focus on the problem of joint learning of multiple
diff...
Deep neural networks are vulnerable to adversarial examples, which are
c...
Face recognition (FR) systems have been widely applied in safety-critica...
Network-oriented research has been increasingly popular in many scientif...
We propose a new (theoretical) computational model for the study of mass...
Large brain imaging databases contain a wealth of information on brain
o...
Recently, graph theory has become a popular method for characterizing br...
In recent years, longitudinal neuroimaging study has become increasingly...
The modular behavior of the human brain is commonly investigated using
i...
The modular behavior of the human brain is commonly investigated using
i...
Recently, there has been increased interest in fusing multimodal imaging...
Near infrared spectroscopy (NIRS) is an imaging-based diagnostic tool th...